High-Resolution MaxEnt Modelling of Habitat Suitability for Maternity Colonies of the Barbastelle Bat <i>Barbastella barbastellus</i> (Schreber, 1774) in Rhineland-Palatinate, Germany

Gottwald, Jannis; Appelhans, Tim; Adorf, Frank; Hillen, Jessica; Nauss, Thomas

doi:10.3161/15081109acc2017.19.2.015

Cited by 12 publications

(7 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found that roost trees were located significantly closer to water than random trees. The association with water has been shown elsewhere for barbastelle roosts using habitat suitability (Gottwald et al, 2017) and has also been observed in several other temperate forest-dwelling bats (Kalcounis-Ruppell et al, 2005;O'Keefe et al, 2009;Culina et al, 2017). Rivers that flowed through each study site were prominent features in the landscape and are probably used as flight corridors and drinking sites by bats.…”

Section: Distance To Watersupporting

confidence: 74%

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

Carr

Zeale

Weatherall

et al. 2018

Forest Ecology and Management

View full text Add to dashboard Cite

Usage of any items from the University of Cumbria's institutional repository 'Insight' must conform to the following fair usage guidelines. Any item and its associated metadata held in the University of Cumbria's institutional repository Insight (unless stated otherwise on the metadata record) may be copied, displayed or performed, and stored in line with the JISC fair dealing guidelines (available here) for educational and notforprofit activities provided that • the authors, title and full bibliographic details of the item are cited clearly when any part of the work is referred to verbally or in the written form • a hyperlink/URL to the original Insight record of that item is included in any citations of the work • the content is not changed in any way • all files required for usage of the item are kept together with the main item file. You may not • sell any part of an item • refer to any part of an item without citation • amend any item or contextualise it in a way that will impugn the creator's reputation • remove or alter the copyright statement on an item. The full policy can be found here.

show abstract

Section: Distance To Watersupporting

confidence: 74%

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

Carr

Zeale

Weatherall

et al. 2018

Forest Ecology and Management

View full text Add to dashboard Cite

show abstract

“…In addition, the models in this study only define suitable habitat for general summer use. Modeling migration corridors for both long‐ and short‐distance migrants and modeling ideal maternity habitat through female‐only models during summer may find additional areas of habitat (Hayes et al 2015, Gottwald et al 2017, Wieringa et al 2021). Lastly, testing the same variable distances for all 3 species (0.1 km, 0.5 km, 1 km), although beneficial for maintaining consistency in the analysis and with previously published HSMs (Bellamy et al 2013), may be too small for larger ranges in species‐specific variation in habitat usage.…”

Section: Discussionmentioning

confidence: 99%

One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models

et al. 2023

View full text Add to dashboard Cite

Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape-level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We created habitat suitability models (HSMs) for hoary bats (Lasiurus cinereus), eastern red bats (L.borealis), and tri-colored bats (Perimyotis subflavus) across Illinois, USA, using species-specific landscape and climate variables. With the 3 models from this study and a previously published HSM for Indiana bats (Myotis sodalis), we stacked binary HSMs, thereby identifying priority conservation areas across Illinois. Species exhibited different distributional patterns and habitat preferences across Illinois. Multi-species HSMs highlight high quality habitat (i.e., ecologically important habitat that provides preferred resources for roosting, foraging, and raising young) in southern Illinois and along river riparian areas. This approach identified priority conservation areas mainly following hydrologic zones, which allows managers to strategically target restoration and conservation measures, invest funds in habitat likely to have high

show abstract

“…Our baseline model identified temperature seasonality (bio04) as the most influential variable for the potential future distribution of M. religiosa in Hesse. It is defined as the standard deviation of the monthly temperature averages throughout the year (Xu et al, 2013;Grünig et al, 2017), and larger values indicate greater temperature differences between the months. 1 and 2).…”

Section: Discussionmentioning

confidence: 99%

“…Maxent is a popular method for species distribution modeling and is able to work with presence-only data (Elith et al, 2011;Merow et al, 2013;Amici et al, 2015). To select the explanatory variables for the baseline model of the current distribution of M. religiosa, we applied the function MaxentVariableSelection (Jueterbock et al, 2016;Gottwald et al, 2017;Steger et al, 2020) with the following settings: (1) a contribution threshold for inclusion in the model of 2 %, a value that reflects the importance of environmental variables in limiting the distribution of the species;…”

Section: Statistical Analyses and Mappingmentioning

confidence: 99%

Effects of projected climate change on the distribution of <i>Mantis religiosa</i> suggest expansion followed by contraction

Steger¹,

Schneider²,

Brandl³

et al. 2020

Web Ecol.

View full text Add to dashboard Cite

Abstract. Climate change influences the global and regional distribution of many species. For thermophilic insects, range expansions towards the north and to higher elevations are expected in the course of climatic warming across the Northern Hemisphere. The distribution of the European mantis (Mantis religiosa) has recently expanded from Mediterranean regions in France to Hesse in central Germany. This is interpreted as a response to rising mean temperatures, and further northward expansion is expected to occur with increasing climate warming. In this study, potential changes in the regional distribution across Hesse were modeled for Mantis religiosa using the present distribution and climate across Europe as the baseline. We estimated potential changes in the regional distribution for two time periods until 2080 based on two climate change scenarios. The results showed that the current range of M. religiosa in Hesse is smaller than expected based on its climatic niche, i.e., the distribution is not in equilibrium with the present climate. With climate warming the model predicts an expansion of the potential distribution for the period 2041–2060. For the period 2061–2080, our model predicts, however, a range contraction in spite of continued warming. This unexpected result warrants further investigation in order to elucidate whether the ongoing climate change may have negative consequences for thermophilic species such as M. religiosa.

show abstract

High-Resolution MaxEnt Modelling of Habitat Suitability for Maternity Colonies of the Barbastelle Bat Barbastella barbastellus (Schreber, 1774) in Rhineland-Palatinate, Germany

Cited by 12 publications

References 38 publications

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models

Effects of projected climate change on the distribution of <i>Mantis religiosa</i> suggest expansion followed by contraction

Contact Info

Product

Resources

About

High-Resolution MaxEnt Modelling of Habitat Suitability for Maternity Colonies of the Barbastelle Bat Barbastella barbastellus (Schreber, 1774) in Rhineland-Palatinate, Germany

Cited by 12 publications

References 38 publications

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

Ground-based and LiDAR-derived measurements reveal scale-dependent selection of roost characteristics by the rare tree-dwelling bat Barbastella barbastellus

One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models

Effects of projected climate change on the distribution of &lt;i&gt;Mantis religiosa&lt;/i&gt; suggest expansion followed by contraction

Contact Info

Product

Resources

About

Effects of projected climate change on the distribution of <i>Mantis religiosa</i> suggest expansion followed by contraction